Current technologies measure direct action such as clicks and mouse movements, leaving 99.8% of experiences unaccounted for. Sticky measures what real people see and feel, predicting up to 70-90% of action, inaction and future action.

Daily Innovation Cycles

Our platform provides results within hours, not weeks or months. 20 times faster learnings allows for quicker iteration and solutions that will keep you ahead of the competition.

Double Video Engagement

Our emotion platform is able to determine the feelings of a participant while being exposed to your video. Combining emotion and attention, users can identify the video’s emotional peak, likeliness to be skipped, branding seconds, relevance, and trustworthiness.

Decisions with Confidence

We provide dynamic visualizations that tell you if your content is grabbing attention and for how long. With this information, our clients are empowered to make informed decisions that increase conversion rates, ROIs and optimize engagement.

Insight from Real Users

Sticky measures real people, not algorithms. Sticky Crowd provides access to a US General Population panel and targeted panels. You also have the ability to bring in your own panelists.

WHAT PANEL DO YOU USE?

For most studies, we use an English-language US General Population panel evenly split between male and female. We have other countries and languages available upon request. Our panel is made up of normal people, like you and me, who take surveys to make some extra cash. If you're interested in being a part of our panel or learning more, click here.

Unlike some other web-based eye tracking companies, Sticky measures real people, not algorithms. We don't just use math to guess where people will look -- we actually measure it.

HOW IS THIS DIFFERENT FROM CLICKMAPS?

Clickmaps measure the end destination; Sticky measures the entire journey.

Click represents only the final 2% of the user's experience. Using a visual engagement platform, you measure the 98% of the user's experience that leads to click.

And once you measure the entire journey, you can start to direct it and funnel more clicks where you want them.

What clickmaps don't tell you is why users click where they do and why they don't click where they don't.

How does Sticky Compare to Surveys?

People can lie on surveys; their eyes never lie. More often than lying, however, people just misremember and confabulate answers.

We conducted a study to see if what participants say they see is what they really see, comparing seen data to recall. Four target groups looked at ads from a variety of major brands, including Levis (UK and US), Netflix, Wuaki, Bank of America, and ING Direct. The participants were then asked if they recalled seeing them.

The See-Say Gap

This was then compared to the gaze patterns that had been monitored by Sticky’s technology, and a See-Say Gap was revealed. Across all the tested ads in this study there was an average of 25% false negatives and 10% false positives.

The See-Say Gap contributes to a serious problem in current research. It is hard to know when the recall data from quant studies is inflated or deflated. Survey questions don't account for this gap.

We do.

Don't over or under estimate your media investment -- mind the gap.

WHAT ABOUT A/B TESTING?

Sticky and A/B Testing aren't mutually exclusive! You can supercharge your A/B tests with visual engagement metrics. Our VP of Product, Jean Templin, wrote a widely shared article about how to lower the cost of A/B tests with Sticky. The article also includes specific use cases -- you can read it here.

The gist of it is that knowing where people look with Sticky's visual data (below, left) allows you to better focus your design iterations for A/B testing (below, right).

SeenMap: A typical example of results from a Sticky experiment.

A typical example of A/B test results.

NEXT GENERATION VISUAL OPTIMIZATION FOR EVERYONE

Everyone can use Sticky's platform, whether this is your first website or you are an international company optimizing global campaigns.

Insight and Audit:

For new users --- makers, designers and advertisers.

Researcher:

For agencies and market researchers with more advanced uses, allowing for customizable experiments and surveys.

Enterprise:

For high volume usage and direct integration with other products or across organizations.